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    The spatiotemporal variation characteristics of grassland vegetation coverage and grassland degradation in northern Xinjiang from 2000 to 2020
    FAN Jun, YAN An, LI Jing-yan, LU Qian-cheng, SUN Meng
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 178-188.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.028
    Abstract272)      PDF (12018KB)(71)       Save
    Using Landsat NDVI sequence data from 2000 to 2020 as the data source, this paper used spatiotemporal and statistical analysis methods to explore the spatiotemporal variation characteristics of grassland vegetation coverage and grassland degradation in northern Xinjiang. The driving forces of grassland degradation in Northern Xinjiang were analyzed from two aspects: climate and human activities. The results showed that from the spatiotemporal changes of grassland vegetation coverage, the overall trend of grassland vegetation coverage in Northern Xinjiang from 2000 to 2020 was increasing;the ecosystem in the Northern part of Xinjiang was more fragile and susceptible to the impacts of climate change and human activities;the grassland in the Northern Xinjiang region had a relatively high grassland vegetation coverage on the sunny slope. The areas with a high grassland vegetation coverage were mainly located in mountainous areas with high terrain index and relatively good water and thermal conditions. The areas with a low grassland vegetation coverage were mainly located in areas such as relatively water scarce and arid desert edges. From the spatiotemporal variation characteristics of grassland degradation, there was a significant shift in the levels of grassland degradation in Northern Xinjiang from 2000 to 2020, mainly manifested as the transition from mild and moderate degradation to non degraded grassland, and from severe degradation to mild degradation, indicating that the phenomenon of grassland degradation in Northern Xinjiang had further improved. Grassland degradation in Northern Xinjiang was the result of the combined effects of climate change and human activities, with precipitation being the main climate factor.
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    The Temporal and spatial evolution and prediction of ecosystem service value in Yuxi City based on the FLUS-Markov model
    LIU Shi-xin, LI Jian-hua, SUN Yong-qi, DU Yuan-yuan, XIANG Dong-lei, CHEN Yun-chun
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 189-198.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.029
    Abstract237)      PDF (9849KB)(34)       Save
    Based on the ecological landscape type data of Yuxi City in 2010 and 2020, and the economic value correction ecosystem service value coefficient of grain production,analyzed the ecological landscape types and distribution characteristics of ecosystem service value in Yuxi City were analyzed, and the FLUS-Markov model was used to predict the ecosystem service value and its distribution in Yuxi City by 2030.The results showed that the Kappa coefficient of the predicted results of the model had been increased to 0.896 9, with an overall accuracy of 0.939 3, indicating high accuracy;from 2010 to 2020, the area of forest and grassland in Yuxi City showed a decreasing trend, and the ecosystem mainly composed of forest, grassland, and water still faced threats; the ecosystem service value of Yuxi City was 53.504 71 billion yuan, with a change rate of -0.129 7% in 2030. Yuxi City should strengthen the protection of forest and grassland, strengthen the implementation of policies for returning farmland to forest and grassland, and reasonably control the conversion of grassland and forest land to arable land;the ecosystem service value of Yuxi City showed still as follows: west>center>east in 2030;the contribution rates of ecosystem service value from high to low were Xinping County, Yuanjiang County, Eshan County, Yimen County, Huaning County, Hongta District, Jiangchuan District, Chengjiang City, and Tonghai County in various counties and districts of Yuxi City in 2030.
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